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Beforepay Group (B4P) Fair Value & Analysis

Technology · AU · Market cap A$62.2M

PriceA$1.30
Fair ValueA$2.48
Upside+91.5%
Quality95/100
Evidence: High Range A$0.9200 – A$3.18

Fair value as of: Jun 25, 2026

Analysis

Beforepay Group (B4P) currently trades at A$1.30, while our model-based Fair Value estimate is A$2.48 — implying the stock looks roughly 91.5% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Beforepay Group Limited provides finance to its customers by way of pay on demand advances. It offers Beforepay that allows customers to access short-term loans through its pay advance and personal loan products to manage short-term cash flow challenges; and Carrington Labs, which provides cash flow underwriting and credit risk analytics solutions. The company was incorporated in 2019 and is based in Sydney, Australia.

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Frequently asked questions

Is Beforepay Group (B4P) undervalued?
As of Jun 25, 2026, our model estimates a fair value of A$2.48 versus a price of A$1.30 — about +92% (undervalued). Model-based estimate, not financial advice.
What is the fair value of B4P?
Our 21-model fair value for Beforepay Group is A$2.48 (as of Jun 25, 2026), built from audited fundamentals. The current price is A$1.30.
What is the quality score of B4P?
Beforepay Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.